云下湿清除作用对长三角PM2.5模拟的影响

周广强, 瞿元昊, 高伟, 余钟奇

中国环境科学 ›› 2020, Vol. 40 ›› Issue (7) : 2794-2801.

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中国环境科学 ›› 2020, Vol. 40 ›› Issue (7) : 2794-2801.
大气污染与控制

云下湿清除作用对长三角PM2.5模拟的影响

  • 周广强, 瞿元昊, 高伟, 余钟奇
作者信息 +

Simulated impact of blow-cloud wet scavenging on PM2.5 over the YRD

  • ZHOU Guang-qiang, QU Yuan-hao, GAO Wei, YU Zhong-qi
Author information +
文章历史 +

摘要

为探讨云下湿清除作用对长三角地区PM2.5浓度模拟的影响,在华东区域大气环境数值预报系统中新增了气溶胶云下湿清除过程参数化方案,对比分析了2018年12月1日至2019年2月28日降水对长三角地区PM2.5的清除作用及其对数值模拟效果的改进.结果表明,模式对该时段内的降水和PM2.5浓度均有很好的模拟效果,模拟的数值、空间分布和变化趋势均与观测有良好的一致性;增加云下湿清除作用后长三角地区PM2.5浓度模拟效果得到明显改善:平均偏差、平均误差和均方根误差分别减小4.85,1.72,2.35μg/m3,归一化偏差和归一化误差分别降低0.14和0.08,约90%城市的相关系数、均方根误差、平均误差、归一化误差得到改进;云下湿清除作用使模拟PM2.5浓度随雨强增大而降低,解决了模式湿清除过程的不足.同时,增加云下湿清除作用会加剧部分城市PM2.5模拟浓度偏低的现象,这需要通过其他过程的完善予以改进.

Abstract

A parameterization scheme for blow-cloud wet scavenging (BWS) was developed and implemented into the Regional Atmospheric Environmental Modeling System for eastern China (RAEMS) to analyze the effect of BWS on the simulation accuracy of PM2.5 over the Yangtze River Delta (YRD) region. Simulations with RAEMS were conducted for the period of Dec. 1st, 2018 through Feb. 28th, 2019. The results showed that RAEMS succeeded in simulating the amount of precipitation and PM2.5 concentration over the YRD region, as well as their spatial pattern and temporal trend. A better performance of PM2.5 simulation was found with the BWS effect included. The mean bias (MB), mean error (ME) and root mean square error (RMSE) decreased by 4.85, 1.72 and 2.35μg/m3, respectively. The normalized mean bias (NMB) and normalized mean error (NME) reduced by 14% and 8%, respectively. The model performance is improved at about 90% cities. The introduction of BWS effect to RAEMS reduced the modeled PM2.5 concentration with the increase of precipitation intensity, which improved RAEMS in terms of wet scavenging processes. The disadvantage was found that the BWS effect exacerbates underestimation of PM2.5 concentration at some YRD cities and it may be related to model bias of other processes.

关键词

PM2.5 / WRF-Chem / 降水 / 湿清除 / 云下湿清除

Key words

below-cloud wet scavenging / PM2.5 / precipitation / wet scavenging / WRF-Chem

引用本文

导出引用
周广强, 瞿元昊, 高伟, 余钟奇. 云下湿清除作用对长三角PM2.5模拟的影响[J]. 中国环境科学. 2020, 40(7): 2794-2801
ZHOU Guang-qiang, QU Yuan-hao, GAO Wei, YU Zhong-qi. Simulated impact of blow-cloud wet scavenging on PM2.5 over the YRD[J]. China Environmental Science. 2020, 40(7): 2794-2801
中图分类号: X513   

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基金

国家重点研发计划项目(2016YFC0201900)


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